Debunking Seven Terrorism Myths Using Statistics

Debunking Seven Terrorism Myths Using Statistics PDF Author: Andre Python
Publisher: CRC Press
ISBN: 9780367472283
Category : Quantitative research
Languages : en
Pages : 142

Get Book Here

Book Description
What is terrorism? What can we learn and what cannot we learn from terrorism data? What are the perspectives and limitations of the analysis of terrorism data? Over the last decade, scholars have generated unprecedented insight from the statistical analysis of ever-growing databases on terrorism. Yet their findings have not reached the public. This book translates the current state of knowledge on global patterns of terrorism free of unnecessary jargon. Readers will be gradually introduced to statistical reasoning and tools applied to critically analyze terrorism data within a rigorous framework. Debunking Seven Terrorism Myths Using Statistics communicates evidence-based research work on terrorism to a general audience. It describes key statistics that provide an overview of the extent and magnitude of terrorist events perpetrated by actors independent of state governments across the world. The books brings a coherent and rigorous methodological framework to address issues stemming from the statistical analysis of terrorism data and its interpretations. Features Uses statistical reasoning to identify and address seven major misconceptions about terrorism. Discusses the implications of major issues about terrorism data on the interpretation of its statistical analysis. Gradually introduces the complexity of statistical methods to familiarize the non-statistician reader with important statistical concepts to analyze data. Use illustrated examples to help the reader develop a critical approach applied to the quantitative analysis of terrorism data. Includes chapters focusing on major aspects of terrorism: definitional issues, lethality, geography, temporal and spatial patterns, and the predictive ability of models.

Debunking Seven Terrorism Myths Using Statistics

Debunking Seven Terrorism Myths Using Statistics PDF Author: Andre Python
Publisher: CRC Press
ISBN: 9780367472283
Category : Quantitative research
Languages : en
Pages : 142

Get Book Here

Book Description
What is terrorism? What can we learn and what cannot we learn from terrorism data? What are the perspectives and limitations of the analysis of terrorism data? Over the last decade, scholars have generated unprecedented insight from the statistical analysis of ever-growing databases on terrorism. Yet their findings have not reached the public. This book translates the current state of knowledge on global patterns of terrorism free of unnecessary jargon. Readers will be gradually introduced to statistical reasoning and tools applied to critically analyze terrorism data within a rigorous framework. Debunking Seven Terrorism Myths Using Statistics communicates evidence-based research work on terrorism to a general audience. It describes key statistics that provide an overview of the extent and magnitude of terrorist events perpetrated by actors independent of state governments across the world. The books brings a coherent and rigorous methodological framework to address issues stemming from the statistical analysis of terrorism data and its interpretations. Features Uses statistical reasoning to identify and address seven major misconceptions about terrorism. Discusses the implications of major issues about terrorism data on the interpretation of its statistical analysis. Gradually introduces the complexity of statistical methods to familiarize the non-statistician reader with important statistical concepts to analyze data. Use illustrated examples to help the reader develop a critical approach applied to the quantitative analysis of terrorism data. Includes chapters focusing on major aspects of terrorism: definitional issues, lethality, geography, temporal and spatial patterns, and the predictive ability of models.

Statistics Behind the Headlines

Statistics Behind the Headlines PDF Author: A. John Bailer
Publisher: CRC Press
ISBN: 1000702618
Category : Mathematics
Languages : en
Pages : 113

Get Book Here

Book Description
How do you learn about what’s going on in the world? Did a news headline grab your attention? Did a news story report on recent research? What do you need to know to be a critical consumer of the news you read? If you are looking to start developing your data self-defense and critical news consumption skills, this book is for you! It reflects a long-term collaboration between a statistician and a journalist to shed light on the statistics behind the stories and the stories behind the statistics. The only prerequisite for enjoying this book is an interest in developing the skills and insights for better understanding news stories that incorporate quantitative information. Chapters in Statistics Behind the Headlines kick off with a news story headline and a summary of the story itself. The meat of each chapter consists of an exploration of the statistical and journalism concepts needed to understand the data analyzed and reported in the story. The chapters are organized around these sections: What ideas will you encounter in this chapter? What is claimed? Is it appropriate? Who is claiming this? Why is it claimed? What makes this a story worth telling? Is this a good measure of impact? How is the claim supported? What evidence is reported? What is the quality/strength of the evidence? Does the claim seem reasonable? How does this claim fit with what is already known? How much does this matter? Considering the coverage Chapters close with connections to the Stats + Stories podcast.

Quantifying Counterfactual Military History

Quantifying Counterfactual Military History PDF Author: Brennen Fagan
Publisher: CRC Press
ISBN: 0429948794
Category : Mathematics
Languages : en
Pages : 183

Get Book Here

Book Description
Forces shaping human history are complex, but the course of history is undeniably changed on many occasions by conscious acts. These may be premeditated or responsive, calmly calculated or performed under great pressure. They may also be successful or catastrophic, but how are historians to make such judgements and appeal to evidence in support of their conclusions? Further, and crucially, how exactly are we to distinguish probable unrealized alternatives from improbable ones? This book describes some of the modern statistical techniques that can begin to answer this question, as well as some of the difficulties in doing so. Using simple, wellquantified cases drawn from military history, we claim that statistics can now help us to navigate the near-truths, the envelope around the events with which any meaningful historical analysis must deal, and to quantify the basis of such analysis. Quantifying Counterfactual Military History is intended for a general audience who are interested in learning more about statistical methods both in military history and for wider applications. Key Features: This book demonstrates how modern statistical techniques can measure the impact of counterfactual decisions. It examines the importance of counterfactual reasoning for both modern scholars and historical actors. It combines historical narrative, mathematical precision and data to create a straightforward presentation of both factual and counterfactual military history. It provides an original contribution to the debate over the validity and rigour of works of counterfactual history. It is written in a manner accessible to readers who have no formal training in History or Statistics.

Never Waste a Good Crisis

Never Waste a Good Crisis PDF Author: Klaas Sijtsma
Publisher: CRC Press
ISBN: 1000888908
Category : Science
Languages : en
Pages : 219

Get Book Here

Book Description
This book covers statistical consequences of breaches of research integrity such as fabrication and falsification of data, and researcher glitches summarized as questionable research practices. It is unique in that it discusses how unwarranted data manipulation harms research results and that questionable research practices are often caused by researchers’ inadequate mastery of the statistical methods and procedures they use for their data analysis. The author’s solution to prevent problems concerning the trustworthiness of research results, no matter how they originated, is to publish data in publicly available repositories and encourage researchers not trained as statisticians not to overestimate their statistical skills and resort to professional support from statisticians or methodologists. The author discusses some of his experiences concerning mutual trust, fear of repercussions, and the bystander effect as conditions limiting revelation of colleagues’ possible integrity breaches. He explains why people are unable to mimic real data and why data fabrication using statistical models stills falls short of credibility. Confirmatory and exploratory research and the usefulness of preregistration, and the counter-intuitivenature of statistics, are discussed. The author questions the usefulness of statistical advice concerning frequentist hypothesis testing, Bayes-factor use, alternative statistics education, and reduction of situational disturbances like performance pressure, as stand-alone means to reduce questionable research practices when researchers lack experience with statistics. An interview with the author can be found here: https://www.tilburguniversity.edu/magazine/overview/former-rector-sijtsma-turn-statistician-fight-fraud-and-sloppiness.

Achieving Product Reliability

Achieving Product Reliability PDF Author: Necip Doganaksoy
Publisher: CRC Press
ISBN: 1000401138
Category : Mathematics
Languages : en
Pages : 249

Get Book Here

Book Description
Are you buying a car or smartphone or dishwasher? We bet long-term, trouble-free operation (i.e., high reliability) is among the top three things you look for. Reliability problems can lead to everything from minor inconveniences to human disasters. Ensuring high reliability in designing and building manufactured products is principally an engineering challenge–but statistics plays a key role. Achieving Product Reliability explains in a non-technical manner how statistics is used in modern product reliability assurance. Features: Describes applications of statistics in reliability assurance in design, development, validation, manufacturing, and field tracking. Uses real-life examples to illustrate key statistical concepts such as the Weibull and lognormal distributions, hazard rate, and censored data. Demonstrates the use of graphical tools in such areas as accelerated testing, degradation data modeling, and repairable systems data analysis. Presents opportunities for profitably applying statistics in the era of Big Data and Industrial Internet of Things (IIoT) utilizing, for example, the instantaneous transmission of large quantities of field data. Whether you are an intellectually curious citizen, student, manager, budding reliability professional, or academician seeking practical applications, Achieving Product Reliability is a great starting point for a big-picture view of statistics in reliability assurance. The authors are world-renowned experts on this topic with extensive experience as company-wide statistical resources for a global conglomerate, consultants to business and government, and researchers of statistical methods for reliability applications.

Protecting Your Privacy in a Data-Driven World

Protecting Your Privacy in a Data-Driven World PDF Author: Claire McKay Bowen
Publisher: CRC Press
ISBN: 1000481816
Category : Mathematics
Languages : en
Pages : 148

Get Book Here

Book Description
At what point does the sacrifice to our personal information outweigh the public good? If public policymakers had access to our personal and confidential data, they could make more evidence-based, data-informed decisions that could accelerate economic recovery and improve COVID-19 vaccine distribution. However, access to personal data comes at a steep privacy cost for contributors, especially underrepresented groups. Protecting Your Privacy in a Data-Driven World is a practical, nontechnical guide that explains the importance of balancing these competing needs and calls for careful consideration of how data are collected and disseminated by our government and the private sector. Not addressing these concerns can harm the same communities policymakers are trying to protect through data privacy and confidentiality legislation.

Backseat Driver

Backseat Driver PDF Author: Norma Faris Hubele
Publisher: CRC Press
ISBN: 1000642623
Category : Mathematics
Languages : en
Pages : 221

Get Book Here

Book Description
Buying the safest car for your family shouldn’t be up for debate. Yet for decades, car safety advocates, manufacturers, and lawmakers in the United States have clashed over whether to make automobiles safer. All sides armed themselves with data in the hopes of winning the great car safety debates. In this way, crash statistics and the analysts who studied them made history. But data were always in the backseat, merely supporting different points of view. That is, until now. With car safety, it’s the value we place on every human life that counts. Automobile safety expert Dr. Norma Faris Hubele delivers a lively discussion of the role data play in protecting you and your family on the road. You’ll gain a greater appreciation for how: A World War I pilot’s near-death experience birthed the U.S. car safety movement Data from real car crashes helped create the first vehicle safety standards A shift toward fuel-efficient cars affected fatality risk in the 1970s–1980s versus now Vehicle size has changed, and the problems that creates for you and others sharing the road Car safety rating systems, even when limited, empower consumers and motivate manufacturers Federal regulators decide whether to issue a safety recall on your vehicle Data’s role is evolving with the advent of driver-assist and self-driving technologies Further information can be found on the book's website: www.TheAutoProfessor.com/book [US only].

Contemporary Terrorism Studies

Contemporary Terrorism Studies PDF Author: Diego Muro
Publisher: Oxford University Press
ISBN: 0198829566
Category : Terrorism
Languages : en
Pages : 646

Get Book Here

Book Description
'Contemporary Terrorism Studies' is a comprehensive and accessible introduction to terrorism studies, examining key issues and debates, and featuring dedicated sections on terrorism and counter-terrorism. - When do individuals radicalise? - Can terrorism be rational? - How can we define terrorism? - What is the role of women in terrorism? - Can states be terrorist? World leading experts answer these questions in Contemporary Terrorism Studies, the first textbook to provide a multi-disciplinary, methodologically plural, and richly diverse introduction to terrorism studies. Contemporary Terrorism Studies covers the main approaches in terrorism studies, and is structured into three comprehensive sections. The first on 'The State of Terrorism Studies' maps the development and historical context of the discipline, and looks to the future of terrorism studies. Part two on 'Issues and Debates in Terrorism Studies' examines key contentious questions and debates such as the role of women, technology, and the media in terrorism. The final part, part three on 'Countering Terrorism' focuses specifically on counterterrorism: it's instruments, foreign policy, legal frameworks, and organisations. Overall, text will engage students, and establish a confident understanding of the subject. The textbook has been developed with pedagogical features to help enhance student learning. Each chapter contains case studies to highlight real world examples of political violence, questions for reflection to encourage critical thinking, and suggestions for further reading which provide useful sources for further reading, essays, and exam preparation. Furthermore, a consistent, accessible tone, and jargon-free writing style makes Contemporary Terrorism Studies the clearest guide to understanding terrorism. Digital formats and resources Contemporary Terrorism Studies is available for students and institutions to purchase in a variety of formats, and is supported by online resources. - The e-book offers a mobile experience and convenient access along with hyperlinks to question pointers, and a library of web links, helping you to broaden your knowledge and understanding terrorism studies: www.oxfordtextbooks.co.uk/ebooks - Student resources: additional case studies, guidance on accessing databases, pointers for tackling the questions for reflection, and suggested web links organised by chapter are available online. - Lecturer resources: customisable PowerPoint slides to adapt and use in teaching

Debunking 9/11 Myths

Debunking 9/11 Myths PDF Author: David Dunbar
Publisher: Sterling Publishing Company, Inc.
ISBN: 9781588166357
Category : Conspiracies
Languages : en
Pages : 214

Get Book Here

Book Description
Analyzes and refutes twenty of the most predominant theories involving the United States government's role in perpetrating the September 11, 2001 terrorist attacks.

Data Management Using Stata

Data Management Using Stata PDF Author: Michael N Mitchell
Publisher: Stata Press
ISBN: 9781597183185
Category :
Languages : en
Pages : 512

Get Book Here

Book Description
This second edition of Data Management Using Stata focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout to reflect new data management features that have been added over the last 10 years. Such features include the ability to read and write a wide variety of file formats, the ability to write highly customized Excel files, the ability to have multiple Stata datasets open at once, and the ability to store and manipulate string variables stored as Unicode. Further, this new edition includes a new chapter illustrating how to write Stata programs for solving data management tasks. As in the original edition, the chapters are organized by data management areas: reading and writing datasets, cleaning data, labeling datasets, creating variables, combining datasets, processing observations across subgroups, changing the shape of datasets, and programming for data management. Within each chapter, each section is a self-contained lesson illustrating a particular data management task (for instance, creating date variables or automating error checking) via examples. This modular design allows you to quickly identify and implement the most common data management tasks without having to read background information first. In addition to the "nuts and bolts" examples, author Michael Mitchell alerts users to common pitfalls (and how to avoid them) and provides strategic data management advice. This book can be used as a quick reference for solving problems as they arise or can be read as a means for learning comprehensive data management skills. New users will appreciate this book as a valuable way to learn data management, while experienced users will find this information to be handy and time saving--there is a good chance that even the experienced user will learn some new tricks.